Open AccessUse of amplified expenditure expenses using the calculation services scheme
Author(s) -
Sundhar singh Pitta,
Raghuram Cheepurupalli,
Arambam Neelima
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1228/1/012004
Subject(s) - encryption , computer science , laptop , sql , parallels , spatial analysis , range (aeronautics) , focus (optics) , location based service , spatial query , data mining , information retrieval , database , web search query , computer security , search engine , mathematics , web query classification , computer network , mechanical engineering , statistics , materials science , physics , optics , engineering , composite material , operating system
An information analyst can study the ability of social achievement according to countless user site records by evaluating multiple circular range queries. More specifically, the zeros of the previous search, especially dealing with system comparisons or encrypting command-saving files, can be expanded and exploited to allow exploration of spatial data between axes and rectangular parallels. While most search file encryption schemes focus on common SQL queries, for example, keyword queries and logical queries, two searches have been achieved in particular from the search for geometric range to encrypted spatial data. Our main contribution to the fact that our design is in fact a general approach, can support several types of to the axis. With the rapid development of social systems and location-based services and travel using a laptop, the amount of data that people create every day continues to grow dramatically. It is no longer easy or profitable for companies to keep a large amount of data in their area. More specifically, it lacks a general approach, which can accept various types of engineering queries on a large scale in encrypted spatial data, regardless of their specific geometric shapes. Our design has great potential for use and application in large applications, for example, location-based services and spatial databases, requiring the use of sensitive spatial data based on robust privacy.